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|[tsf-basics](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/1_intro/basic_operations.ipynb)| Learn basic operations in TensorFlow, a library for various kinds of perceptual and language understanding tasks from Google. |
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|[tsf-gviz](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/graph_visualization.ipynb)| Learn about graph visualization in TensorFlow. |
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|[tsf-lviz](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/loss_visualization.ipynb)| Learn about loss visualization in TensorFlow. |
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Also check out another set of TensorFlow tutorials [here](https://github.com/pkmital/tensorflow_tutorials).
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### tensor-flow-exercises
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| Notebook | Description |
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*[Statistical Interference Using Computational Methods in Python](https://github.com/AllenDowney/CompStats) by Allen Downey
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*[TensorFlow Examples](https://github.com/aymericdamien/TensorFlow-Examples) by Aymeric Damien
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*[TensorFlow Tutorials](https://github.com/pkmital/tensorflow_tutorials) by Parag K Mital
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*[TensorFlow Tutorials](https://github.com/nlintz/TensorFlow-Tutorials) by Nathan Lintz
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*[Summer School 2015](https://github.com/mila-udem/summerschool2015) by mila-udem
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